Robustness of solutions of almost every system of equations
Sana Jahedi, Timothy Sauer, James A. Yorke

TL;DR
This paper demonstrates that in broad classes of functions used in modeling, the rank of their derivatives is almost always constant, leading to predictable, robust solution sets that form smooth manifolds.
Contribution
It establishes that most function spaces like linear, polynomial, or analytic functions are almost always of constant rank, ensuring stable and smooth solution sets in mathematical modeling.
Findings
Most function spaces used in modeling are almost always of constant rank.
Solution sets are either robust for almost all points or not at all.
These solution sets form smooth manifolds with predictable dimensions.
Abstract
In mathematical modeling, it is common to have an equation where the exact form of is not known. This article shows that there are large classes of where almost all share the same properties. The classes we investigate are vector spaces of functions that satisfy the following condition: has ``almost constant rank'' (ACR) if there is a constant integer such that rank for ``almost every'' and almost every . If the vector space is finite-dimensional, then ``almost every'' is with respect to Lebesgue measure on , and otherwise, it means almost every in the sense of prevalence, as described herein. Most function spaces commonly used for modeling purposes are ACR. In particular, we show…
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Taxonomy
TopicsNonlinear Differential Equations Analysis · Advanced Differential Equations and Dynamical Systems · Functional Equations Stability Results
